Comparative Analysis of Deep Learning Models for Brand Logo Classification in Real-World Scenarios. - Qimao Yang; Huili Chen; Qiwei Dong (CoRR, 2023)

SWAT: An Efficient Swin Transformer Accelerator Based on FPGA. - Qiwei Dong; Xiaoru Xie; Zhongfeng Wang 001 (ASPDAC, 2024)

Stability Assessment of Ultramicroelectrode Arrays in Neural Stimulation: an Electrochemical Impedance Spectroscopy Analysis. - Qiwei Dong; Cynthia Ezeh; Yupeng Wu; Jamille F. Hetke; Stuart F. Cogan; Mark E. Orazem; Kevin J. Otto (EMBC, 2024)

Association between low-frequency oscillation and cognitive compensation in high-performance group: An fNIRS mapping study. - Xiang Ji; Qiwei Dong; Zhanxu Liu; Jiangbo Pu; Ting Li 012 (NeuroImage, 2024)

SSMA: A Memory-Efficient Accelerator for State Space Model in the Mamba. - Qiwei Dong; Siyu Zhang; Zhongfeng Wang 001 (ISCAS, 2025)

In silico determination of the temporal viral loads in the saliva and exhaled droplets from the oral cavity. - Qiwei Dong; Kazuki Kuga; Dang Khoa Nguyen; Kazuhide Ito (Comput. Biol. Medicine, 2025)

An Efficient Sparse Hardware Accelerator for Spike-Driven Transformer. - Zhengke Li; Wendong Mao; Siyu Zhang; Qiwei Dong; Zhongfeng Wang 001 (CoRR, 2025)

A Unified Accelerator for All-in-One Image Restoration Based on Prompt Degradation Learning. - Siyu Zhang; Qiwei Dong; Wendong Mao; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

A Memory-Efficient Framework for Deformable Transformer with Neural Architecture Search. - Wendong Mao; Mingfan Zhao; Jianfeng Guan; Qiwei Dong; Zhongfeng Wang 001 (CoRR, 2025)

An Efficient Window-Based Vision Transformer Accelerator via Mixed-Granularity Sparsity. - Qiwei Dong; Siyu Zhang; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)